Suppr超能文献

基于物理驱动的深度神经网络设计的用于近眼显示的近无弥散多色超表面光束偏转器。

Nearly dispersionless multicolor metasurface beam deflector for near eye display designed by a physics-driven deep neural network.

出版信息

Appl Opt. 2021 May 1;60(13):3947-3953. doi: 10.1364/AO.421901.

Abstract

Dispersion is one of the most important issues in see-through near eye displays with waveguide technology. In particular, the nanophotonics design is challenging but demanding. In this paper, we propose a design method for a multilayer achromatic metasurface structure for near eye display application by a physics-driven generative neural network. Two in-coupling metagratings under different projector illuminations are presented and numerically verified with the absolute diffraction efficiency over 89%. A beam splitter, which provides a balance between compactness and visual comfort in a single-projector-binocular display, is also designed. Finally, we apply this method to an out-coupling metasurface with the capability of enlarging the visible region by threefold.

摘要

在采用波导技术的透视近眼显示器中,色散是最重要的问题之一。特别是,纳米光子学设计具有挑战性且要求很高。在本文中,我们提出了一种基于物理驱动生成神经网络的用于近眼显示应用的多层消色差超表面结构设计方法。提出了两种在不同投影仪照明下的入耦合超光栅,并通过绝对衍射效率超过 89%进行了数值验证。还设计了一个分束器,它在单投影仪双筒显示器中在紧凑性和视觉舒适性之间取得了平衡。最后,我们将该方法应用于出耦合超表面,其具有将可见区域放大三倍的能力。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验